2027 Summer Internship (US) - Business Analytics

Zebra Technologies•Holtsville, NY
•Hybrid

About The Position

The 2027 Summer Internship at Zebra prepares students for entry into the business world by offering an understanding of the organization’s functions, training, hands-on experience, social and professional development activities, and a professional mentor relationship. The Business Analytics team delivers analytics, automation, and operational transformation projects across the Product & Solutions organization, building data foundations, interactive dashboards, and automation tools to streamline workflows and support data-driven decisions. The intern will develop an AI-enabled predictive forecasting model for ESS to predict workload and likely outcomes. This work includes examining existing data sources, creating data pipelines as needed, developing and training a machine-learning model, evaluating and tuning its accuracy, presenting results in an accessible format for business leaders, and documenting and presenting the model. The intern will also develop planning, organizational, and leadership skills; increase technology knowledge related to Zebra’s product portfolio; manage team-based assignments; and practice interpersonal skills through follow-up with business contacts. The position requires hybrid work, with three days per week in Zebra’s Holtsville, New York office. The listed hourly salary range is $25.50–$33.00. The internship offers summer Fridays as applicable with the team, more than 30 social and professional events over 12 weeks, global immersion with teams and interns, and an intern allowance when applicable.

Requirements

  • Currently enrolled in an undergraduate degree program in Data Science, Data Analytics, Computer Science, Computer Engineering, or Business Analytics.
  • Anticipated graduation date between December 2027 and 2028.
  • Authorized to work in the United States without requiring sponsorship now or in the future.

Nice To Haves

  • Proficiency with a programming language such as Python.
  • Practical knowledge of building and adapting machine-learning algorithms.
  • Strong analytical skills and an interest in solving complex problems programmatically.
  • Clear and effective verbal and written communication skills.
  • Willingness to learn quickly, embrace new tools or methods, and thrive in a dynamic, fast-paced environment.
  • Basic proficiency with Microsoft Office tools such as Excel, Word, and PowerPoint, and basic familiarity with technology solutions.
  • Commitment to ethical behavior and confidentiality.

Responsibilities

  • Develop an AI-enabled predictive forecasting model for ESS to predict workload and likely outcomes, using existing data pipelines and building additional pipelines as needed.
  • Locate and analyze current data sources within Zebra’s database systems.
  • Create data pipelines to connect data needed for the model.
  • Write code to build and train a machine-learning model that forecasts workloads.
  • Evaluate model accuracy and adjust the model to produce reliable predictions.
  • Integrate the predictive model into an easy-to-read format for business leaders.
  • Document how the model works and present its results to leadership.
  • Develop planning, organizational, and leadership skills.
  • Increase technology knowledge and skills, especially as they relate to Zebra’s product portfolio.
  • Manage team-based work assignments.
  • Practice interpersonal skills and connect with day-to-day business contacts through follow-up activities.

Benefits

  • Summer Fridays, as applicable with the team.
  • More than 30 social and professional events in 12 weeks.
  • Global immersion with teams and interns.
  • Intern allowance, when applicable.
  • Zebra Total Rewards may include healthcare, wellness, inclusion networks, continued learning and development, community service days, insurance, parental leave, employee assistance program, and paid time off, depending on the country where the employee works.
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